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學年
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111 |
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學期
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1 |
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出版（發表）日期
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2022-12-01 |
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作品名稱
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Inference for Kumaraswamy distribution based on type I progressive hybrid censoring |
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作品名稱（其他語言）
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著者
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Farha Sultana; Yogesh Mani Tripathi; Shuo-Jye Wu; Tanmay Sen |
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單位
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出版者
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著錄名稱、卷期、頁數
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Annals of Data Science 9(6), p.1283-1307 |
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摘要
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In this paper, we investigate the estimation problems of unknown parameters of the Kumaraswamy distribution under type I progressive hybrid censoring. This censoring scheme is a combination of progressive type I and hybrid censoring schemes. We derive the maximum likelihood estimates of parameters using an expectation-maximization algorithm. Bayes estimates are obtained under different loss functions using the Lindley method and importance sampling procedure. The highest posterior density intervals of unknown parameters are constructed as well. We also obtain prediction estimates and prediction intervals for censored observations. A Monte Carlo simulation study is performed to compare proposed methods and one real data set is analyzed for illustrative purposes. |
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關鍵字
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Bayes estimates;Importance sampling;Lindley approximation;Maximum likelihood estimates;One-sample prediction |
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語言
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en |
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ISSN
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2198-5804;2198-5812 |
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期刊性質
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國外 |
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收錄於
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Scopus
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產學合作
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通訊作者
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Yogesh Mani Tripathi |
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審稿制度
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是 |
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國別
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DEU |
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公開徵稿
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出版型式
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,電子版,紙本 |